Electromagnetic Modeling Framework of Thermal Systems for Real-Time Hardware-in-the-Loop Simulations.

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Title: Electromagnetic Modeling Framework of Thermal Systems for Real-Time Hardware-in-the-Loop Simulations.
Authors: Gruosso, Giambattista1 (AUTHOR) giambattista.gruosso@polimi.it, Spateri, Enrico1 (AUTHOR)
Source: Energies (19961073). Nov2025, Vol. 18 Issue 21, p5752. 15p.
Subjects: Induction heating, Finite element method, Heating, Digital twin, Energy transfer, Dynamic simulation, Computational electromagnetics
Abstract: This paper presents a methodology for embedding coupled electromagnetic–thermal finite element (FE) models into a hardware-in-the-loop (HIL) platform to enable real-time prototyping of control strategies for advanced heating systems. The framework combines frequency-domain electromagnetic modeling and time-domain thermal simulation within a physics-based digital twin executed on real-time hardware. Electromagnetic simulations generate impedance maps as functions of coil–workpiece positions, which are parameterized into equivalent lumped circuit models for efficient converter-level simulation. In parallel, the thermal FE solver operates directly on the hardware simulator, accelerating the computation of the heated object's energy transfer and thermal dynamics. The approach is validated through an induction-heating case study, demonstrating that integrating finite element modeling into a real-time simulator enables the realistic evaluation of energy conversion, control algorithms, and detection logic in complex electrothermal systems. [ABSTRACT FROM AUTHOR]
Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 189611011
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  Data: Electromagnetic Modeling Framework of Thermal Systems for Real-Time Hardware-in-the-Loop Simulations.
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  Data: <searchLink fieldCode="AR" term="%22Gruosso%2C+Giambattista%22">Gruosso, Giambattista</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> giambattista.gruosso@polimi.it</i><br /><searchLink fieldCode="AR" term="%22Spateri%2C+Enrico%22">Spateri, Enrico</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Nov2025, Vol. 18 Issue 21, p5752. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Induction+heating%22">Induction heating</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink><br /><searchLink fieldCode="DE" term="%22Heating%22">Heating</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+twin%22">Digital twin</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+transfer%22">Energy transfer</searchLink><br /><searchLink fieldCode="DE" term="%22Dynamic+simulation%22">Dynamic simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+electromagnetics%22">Computational electromagnetics</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This paper presents a methodology for embedding coupled electromagnetic–thermal finite element (FE) models into a hardware-in-the-loop (HIL) platform to enable real-time prototyping of control strategies for advanced heating systems. The framework combines frequency-domain electromagnetic modeling and time-domain thermal simulation within a physics-based digital twin executed on real-time hardware. Electromagnetic simulations generate impedance maps as functions of coil–workpiece positions, which are parameterized into equivalent lumped circuit models for efficient converter-level simulation. In parallel, the thermal FE solver operates directly on the hardware simulator, accelerating the computation of the heated object's energy transfer and thermal dynamics. The approach is validated through an induction-heating case study, demonstrating that integrating finite element modeling into a real-time simulator enables the realistic evaluation of energy conversion, control algorithms, and detection logic in complex electrothermal systems. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Energies (19961073) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/en18215752
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 15
        StartPage: 5752
    Subjects:
      – SubjectFull: Induction heating
        Type: general
      – SubjectFull: Finite element method
        Type: general
      – SubjectFull: Heating
        Type: general
      – SubjectFull: Digital twin
        Type: general
      – SubjectFull: Energy transfer
        Type: general
      – SubjectFull: Dynamic simulation
        Type: general
      – SubjectFull: Computational electromagnetics
        Type: general
    Titles:
      – TitleFull: Electromagnetic Modeling Framework of Thermal Systems for Real-Time Hardware-in-the-Loop Simulations.
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            NameFull: Gruosso, Giambattista
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            NameFull: Spateri, Enrico
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            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
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              Value: 21
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            – TitleFull: Energies (19961073)
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